Arm Ecosystem and Innovation
miniNodes is a collection of efforts focused on leveraging Arm processing capability, whether that is in the application of compute and servers in the Datacenter, at the Edge, or the Internet of Things. Arm cores that run Linux can be found in devices ranging from as small as a credit card, to full 4U rack mount enterprise-grade servers in datacenters. There are devices and hardware options that cover every size and shape in between, and the ability to run cloud-native workloads on Arm infrastructure in both traditional and non-traditional environments is extremely valuable.
Over the years, miniNodes has built hardware, software, and projects that innovate and ideate, and has demonstrated thought leadership in the ecosystem. Prototype hardware for building small clusters of Raspberry Pi Compute Modules, IoT-to-Edge-to-Cloud infrastructure demos, and porting software like Rosetta@Home (with help from the community!) are a few examples of the types of work we find exciting.
There is also an emphasis on demonstrating and prototyping machine learning and AI workloads on Arm, for inferencing at the edge. This is sometimes accomplished with TinyML running on MCU’s, but more typically involves Cortex-A class devices running Linux. Computer vision projects such as image classification, semantic segmentation, and object detection, sensor-driven applications, robotics and ROS, autonomous vehicles, and environmental monitoring with keyword spotting and audio classification are all possible on small Arm devices.
